Machine learning methods for small data challenges in molecular science

B Dou, Z Zhu, E Merkurjev, L Ke, L Chen… - Chemical …, 2023 - ACS Publications
Small data are often used in scientific and engineering research due to the presence of
various constraints, such as time, cost, ethics, privacy, security, and technical limitations in …

Current trends in computer aided drug design and a highlight of drugs discovered via computational techniques: A review

VT Sabe, T Ntombela, LA Jhamba… - European Journal of …, 2021 - Elsevier
Computer-aided drug design (CADD) is one of the pivotal approaches to contemporary pre-
clinical drug discovery, and various computational techniques and software programs are …

A critical overview of computational approaches employed for COVID-19 drug discovery

EN Muratov, R Amaro, CH Andrade, N Brown… - Chemical Society …, 2021 - pubs.rsc.org
COVID-19 has resulted in huge numbers of infections and deaths worldwide and brought
the most severe disruptions to societies and economies since the Great Depression …

Application of computational biology and artificial intelligence in drug design

Y Zhang, M Luo, P Wu, S Wu, TY Lee, C Bai - International journal of …, 2022 - mdpi.com
Traditional drug design requires a great amount of research time and developmental
expense. Booming computational approaches, including computational biology, computer …

Converting nanotoxicity data to information using artificial intelligence and simulation

X Yan, T Yue, DA Winkler, Y Yin, H Zhu… - Chemical …, 2023 - ACS Publications
Decades of nanotoxicology research have generated extensive and diverse data sets.
However, data is not equal to information. The question is how to extract critical information …

A lesson for the maestro of the replication fork: targeting the protein‐binding interface of proliferating cell nuclear antigen for anticancer therapy

VK Bhardwaj, R Purohit - Journal of Cellular Biochemistry, 2022 - Wiley Online Library
The proliferating cell nuclear antigen (PCNA) has emerged as a promising candidate for the
development of novel cancer therapeutics. PCNA is a nononcogenic mediator of DNA …

fastDRH: a webserver to predict and analyze protein–ligand complexes based on molecular docking and MM/PB (GB) SA computation

Z Wang, H Pan, H Sun, Y Kang, H Liu… - Briefings in …, 2022 - academic.oup.com
Predicting the native or near-native binding pose of a small molecule within a protein
binding pocket is an extremely important task in structure-based drug design, especially in …

Molecular basis of polyspecific drug and xenobiotic recognition by OCT1 and OCT2

Y Suo, NJ Wright, H Guterres, JG Fedor… - Nature structural & …, 2023 - nature.com
A wide range of endogenous and xenobiotic organic ions require facilitated transport
systems to cross the plasma membrane for their disposition. In mammals, organic cation …

In silico evaluation of Iranian medicinal plant phytoconstituents as inhibitors against main protease and the receptor-binding domain of SARS-CoV-2

SS Mousavi, A Karami, TM Haghighi, SG Tumilaar… - Molecules, 2021 - mdpi.com
The novel coronavirus disease 2019 (COVID-19) is caused by the severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2), which initially appeared in Wuhan, China, in …

Lean-docking: exploiting ligands' predicted docking scores to accelerate molecular docking

F Berenger, A Kumar, KYJ Zhang… - Journal of Chemical …, 2021 - ACS Publications
In structure-based virtual screening (SBVS), a binding site on a protein structure is used to
search for ligands with favorable nonbonded interactions. Because it is computationally …